Lead Software & Platform Engineer

New York, NY · full time · Senior

$129,700 – $216,100

Listed on LSEG’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role leads the design and delivery of high-performance, low-latency trading platforms built on Java and microservices, combining hands-on engineering with technical leadership across architecture, DevOps, and production reliability. It suits experienced engineers who excel at balancing code contribution with mentorship, thrive diagnosing complex distributed systems problems, and want to shape both products and engineering practices in a financial technology environment.

Our summary, not LSEG’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

Hands-on expertise in Java development with a focus on clean, production-grade code
Enterprise application development using Spring Boot and microservices architecture
Deployment and troubleshooting of Java services on Kubernetes in public cloud
Experience building or supporting low-latency, high-throughput trading or business-critical platforms
Technical leadership experience influencing design, delivery, and architecture
Deep understanding of distributed systems, system design, and service-oriented architecture
Expertise in concurrency, multithreading, JVM tuning, memory management, and performance optimization
Knowledge of low-latency system design, profiling, benchmarking, and performance tuning
Production troubleshooting across application, Kubernetes, cloud infrastructure, networking, and observability layers
Familiarity with network protocols including TCP, HTTP, WebSocket, and FIX
DevOps practices including automated testing, CI/CD, containerization, and infrastructure as code
Ability to investigate and resolve complex, cross-system production issues using structured analysis
Experience working in Agile engineering environments
Strong communication skills explaining complex technical issues to varied audiences
Ability to work effectively in globally distributed teams while balancing hands-on work and technical leadership

Nice to have

Public cloud platforms and cloud-native architecture experience (Azure, AWS, GCP)
Kubernetes ecosystem tools such as Helm, ingress controllers, service mesh, and secrets management
CI/CD tools such as GitLab CI/CD, GitHub Actions, or Jenkins
Infrastructure as code tools such as Terraform
Observability platforms such as DataDog, Grafana, Prometheus, ELK, Splunk, or BigPanda
Knowledge of trading systems, FX markets, market data platforms, or financial infrastructure
Experience mentoring engineers and improving engineering practices
Using data-driven insights and AI-assisted tools to improve observability and automate workflows